CONTEXTUAL DETERMINANTS OF CHILDREN EVER BORN AMONG WOMEN OF REPRODUCTIVE AGE IN SELECTED SOUTHWEST STATE IN NIGERIA.
DOI:
https://doi.org/10.47672/ejs.847Keywords:
Contextual determinants, children ever born, reproductive age.Abstract
Purpose: Sub-Saharan Africa still faces high fertility rate among other sub regions globally. This study examined the contextual determinants of children ever born (CEB) among women of reproductive age in selected Southwest states in Nigeria.
Methodology: A total number of one thousand, one hundred and eighty-seven (1,187) women of reproductive ages (15-49) were randomly drawn from Southwest states using multi-stage sampling technique. Questionnaire method was used to collect relevant data from the field. Three levels of data analysis were undertaken to achieve the study objectives. Frequency distribution was used at the univariate level of analysis while linear regression methods were employed at the bivariate and multivariate level of analyses at 0.05 level of significance.
Findings: The result shows that education, age at marriage and employment negatively significantly predict children ever born (CEB) while age of respondents is positively significantly related to children ever born (CEB) in Southwest Nigeria.
Unique Contribution to Practice and Policy: Government specific policies that will encourage female education and give room for their widespread employment should be implemented to control fertility in the country.
Downloads
References
Adebowale, Yusuf, O. B., Gbadebo, B. M., & Dahiru, T. (2017). Level and determinants of high fertility in two contrasting populations in Nigeria. African Population Studies, 31(1).
Adebowale, & Palamuleni, M. E. (2015). Influence of gender preference and sex composition of surviving children on childbearing intention among high fertility married women in stable union in Malawi. African Health Sciences, 15(1), 150-160.
Ajefu, J. B. (2019). Does having children affect women's entrepreneurship decision? Evidence from Nigeria. Review of Economics of the Household, 17(3), 843-860.
Alaba, O. O., Olubusoye, O. E., & Olaomi, J. O. (2017). Spatial patterns and determinants of fertility levels among women of childbearing age in Nigeria. South African Family Practice, 59(4), 143-147.
Amusa, L., & Yahya, W. (2019). Stepwise Geoadditive Modelling of the Ideal Family Size in Nigeria. Türkiye Klinikleri Biyoistatistik, 11(2), 123-132.
Ariho, P., & Kabagenyi, A. (2020). Age at first marriage, age at first sex, family size preferences, contraception and change in fertility among women in Uganda: analysis of the 2006-2016 period. BMC Womens Health, 20(1), 8. doi: 10.1186/s12905-020-0881-4
Bureau, P. R. (2018). 2018 World population data sheet with focus on changing age structures: Author Washington, DC.
Dim, E. E. (2018). Family structure and fertility behaviour among undergraduates of the distant learning institute in Lagos State, Nigeria. African Population Studies, 32(1).
Goldstone, J. A., Korotaev, A., Shulgin, S., & Zinkina, Y. (2018). Why Does High African Fertility Persist? Center for the Study of Social Change, Institutions, and Policy, Working paper(2-2018).
Goujon, Anne, Wolfgang Lutz, and Samir Kc. "Education stalls and subsequent stalls in African fertility: A descriptive overview." Demographic Research 33 (2015): 1281-1296.
Jammeh, R. (2020). Impact of Women Education on Fertility: A case study of The Gambia. First Year Master's Thesis.
Inyang-Etoh, E. C., & Ekanem, A. M. (2016). Child-sex preference and factors that influenced such choices among women in an obstetric population in Nigeria. Open Access Library Journal, 3(10), e3005.
Izugbara, C. O., & Ezeh, A. C. (2010). Women and high fertility in Islamic northern Nigeria. Studies in family planning, 41(3), 193-204.
Kabagenyi, A., Reid, A., Ntozi, J., & Atuyambe, L. (2016). Socio-cultural inhibitors to use of modern contraceptive techniques in rural Uganda: a qualitative study. The Pan African Medical Journal, 25.
Lambert, S., & Rossi, P. (2016). Sons as widowhood insurance: Evidence from Senegal. Journal of development Economics, 120, 113-127.
Nigeria, B. C. (2010). Nigeria: The Next Generation. David E. Bloom et. al. British Council Nigeria.
National Population Commission. (2018). Nigeria] and ICF (2019) Nigeria Demographic and Health Survey 2018. Abuja, Nigeria, and Rockville, Maryland, USA: NPC and ICF.
Nyarko, S. H. (2021). Socioeconomic determinants of cumulative fertility in Ghana. Plos one, 16(6), e0252519.
Obiyan, M., Akinlo, A., & Ogunjuyigbe, P. (2019). Maternal Socioeconomic Status and Fertility Behaviour in Nigeria: Evidence from a Cross Sectional Nationally Representative Survey. European Scientific Journal.
Obiyan, M. O., Fagbamigbe, A. F., Adetutu, O. M., & Oyinlola, F. F. (2017). Fertility, labour force participation and poverty among married women in Nigeria. African Population Studies, 31(1).
Olatoregun, O., Fagbamigbe, A. F., Akinyemi, O. J., Oyindamola, B., & Bamgboye, E. A. (2014). A comparative analysis of fertility differentials in Ghana and Nigeria. African journal of reproductive health, 18(3), 36-47.
Rim, M. (2018). Structural and Proximate Determinants of Fertility in Ethiopia. ì„œìš¸ëŒ€í•™êµ ëŒ€í•™ì›.
Solanke, B. L. (2017). Factors influencing contraceptive use and non-use among women of advanced reproductive age in Nigeria. Journal of Health, Population and Nutrition, 36(1), 1.
Westoff, C. F., Bietsch, K., & Koffman, D. (2013). Indicators of trends in fertility in sub-Saharan Africa. DHS analytical studies, (34).
World Bank. (2019). The World Bank Annual Report 2019: Ending Poverty, Investing in Opportunity.
Wusu, O. (2012). A reassessment of the effects of female education and employment on fertility in Nigeria. Vienna Yearbook of Population Research, 10, 31-48.
World Population Review (2019). Total population by Country 2019.
World Population Review (2021), Sub-Saharan African population 2021
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2021 J.S Olaosebikan, C.F Ogundana , K.A Sunmola
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution (CC-BY) 4.0 License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.